Impact of human resource management practices on TQM: an ISM-DEMATEL approach

Pandey, Priyanka; Agrawal, Nishant; Saharan, Teena; Raut, Rakesh D.

doi:10.1108/tqm-03-2021-0095

Cited by 14 publications

(11 citation statements)

References 135 publications

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“…From a content perspective, the use of a combined DEMATEL-ISM-MICMAC approach to constructing artificial intelligence healthcare service resources adoption problems using a pensions perspective as a context is currently a gap in academia. [58][59][60][61][62][63][64]47,[65][66][67][68][69][70][71][72][73][74][75][76][77] Most studies have focused on the ISM-MICMAC approach to constructing explanatory models without answering the relationships within the factors from a micro perspective, which is an incomplete study for constructing models with a large number of factors. From a contextual perspective, the context of research using a combination of the three DEMATEL-ISM-MICMAC methods is still a gap in the healthcare and elderly care field.…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

2022

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Objectives This study used the Technology-Organization-Environment (TOE) framework to identify the factors involved in the decisions made by integrated medical and healthcare organizations to adopt artificial intelligence (AI) elderly care service resources. Method This study identified the Decision-making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) method was used to construct a multilayer recursive structural model and to analyze the interrelationships between the levels. A MICMAC quadrant diagram was used for a cluster analysis. Results The ISM recursive structural model was divided into a total of seven layers. The bottom layer contained the four factors of High risk of data leakage (T1), Lack of awareness of the value and benefits of AI healthcare technology (T5), Lack of management leadership support (O1), and Government policies (E1). Having a low dependency but high driving force, these factors are the root causes of adoption by healthcare organizations. The topmost layer contained the most direct factors, which had a high dependency but the low driving force, influencing adoption: Competitive pressures (E2), Lack of patient trust (E5), and Lack of excellent partnerships (E7). Healthcare organizations are more concerned with technology and their environments when deciding to adopt intelligent healthcare resources. Conclusion The combination of the three methods of DEMATEL-ISM-MICMAC construction models provides new ideas for smart healthcare services for hospitals. The DEMATEL method favors the construction dimension of the micro-model, while the ISM method favors the construction dimension of the macro-model. Combining these two methods may reduce the loss of information within the system, simplify the matrix calculation workload, and improve the efficiency of operations while decomposing the complex problems into several sub-problems in a more comprehensive and detailed way. Conducting cluster analysis of the adoption determinants utilizing MICMAC quadrant diagrams may provide strong methodological guidance and decision-making recommendations for government departments, senior decision-makers in healthcare organizations, and policy-makers in associations in the senior care industry.

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Section: Discussionmentioning

confidence: 99%

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

2022

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“…Value stream mapping (VM) is one of the most important practices of production flexibility (Kurpjuweit et al, 2021), and a simple mechanism that helps to monitor the current situation and compare it with pre-established standards and uses a variety of signs and signals to control and manage people and processes (VM) (Thomas et al, 2018). Total productive maintenance (TPM) is also a system that takes care of the maintenance of equipment to maintain an optimal and defect-free production environment, reduce downtime, and reduce accidents (Pandey et al,2021). A simple tool is a way to reduce waste to make better use of equipment (Gidwani and Dangayach, 2017) and can help solve cost, technology, and ergonomics problems (Habidin et al, 2018).…”

Section: Lean Manufacturingmentioning

confidence: 99%

The effect of digital supply chain on lean manufacturing: A structural equation modelling approach

Rahamneh¹,

Alrawashdeh²,

Bawaneh³

et al. 2023

10.5267/j.uscm

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This study aimed to test the impact of digital supply chains on lean manufacturing, the digital supply chain was a multidimensional measurement composed of seven dimensions: Digital performance management, digital information technology and digital manufacturing, digital human resources, digital suppliers, digital logistics and inventory and digital clients. The electronic industries companies were targeted to represent the research population and collect the primary necessary data. According to the research budget and time constraints, a convenience sampling method was implemented in the data collection process. Structural equation modeling (SEM) was applied to test the research hypotheses through AMOS software. The results indicated that most of the digital supply chain dimensions had a positive impact on lean manufacturing, except digital suppliers and digital clients, which had no effect on lean manufacturing. Findings from this research help organizational managers make multiple decisions related to investing and allocating resources to increase profit and reduce expenses along digital supply chains.

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“…QM is an essential component of TQM and positively relates to IM performance (Baird et al, 2011;Kaynak, 2003). Improved TQM implementation also improves employee happiness and quality awareness while improving the organisation's image (Pandey et al, 2021). Also, Wiengarten et al (2013) mentioned that TQM helps in reducing inventory through a systematic production process, which reduces the throughput time and production time.…”

Section: Inventory Management and Tqm Practicesmentioning

confidence: 99%

Inventory management and TQM practices for better firm performance: a systematic and bibliometric review

Mahajan,

Raut,

Kumar

et al. 2023

TQM

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PurposeThis paper aims to quantify the trend of variables used for building a theoretical model with the help of analysing bibliometrics data of inventory management (IM) and Total Quality Management (TQM) practices and their effects on firm performance.Design/methodology/approachScopus' research database and the Web of Science (WoS) (including Elsevier, Emerald Group Publishing, Taylor and Francis, Wiley, IEEE, Informs and SAGE) were used to find relevant articles. The articles, review papers and conference proceedings were screened from 1993 to 2021. The articles were analysed to explain the different types of IM practices, TQM practices and their effect on the firm's performance. Thematic analysis was done using a bibliometric package of “R” (Biblioshiny) and VOSviewer to identify the key trends, approaches and research agenda.FindingsThe research covered 28 years of publications and summarised 497 articles, review papers and conference papers. Researchers concluded that IM highly correlates with the inventory turnover ratio and has no relation to firm performance. Further, TQM positively affects firm performance, but integrating IM and TQM will be a research scope for future study as none of the researchers previously covered this.Research limitations/implicationsDue to the systematic literature review (SLR) and Bibliometric review, the study is limited to the Scopus and WoS (including Elsevier, Emerald Group Publishing, Taylor and Francis, Wiley, IEEE, Informs and SAGE) databases.Originality/valueBeing the research on a bibliometric and systematic review, relating IM practices with TQM practices would be the novelty of this paper.

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Impact of human resource management practices on TQM: an ISM-DEMATEL approach

Cited by 14 publications

References 135 publications

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

The effect of digital supply chain on lean manufacturing: A structural equation modelling approach

Inventory management and TQM practices for better firm performance: a systematic and bibliometric review

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